Senior ML Engineer
vor 16 Stunden
Your Role & Responsibilities
- Design and develop state-of-the-art machine learning methods for whole-body control of next-generation humanoid robotic systems
- Build scalable training pipelines for reinforcement learning and imitation learning at industrial scale
- Collaborate closely with robotics control engineers, perception teams, and software developers to integrate ML-driven control into a complex real-world robot stack
- Contribute across the full development lifecycle — from early research prototypes to robust, production-ready controllers
- Deploy ML-based controllers on physical humanoid robots and iterate through hands-on testing, evaluation, and optimization
- Provide technical leadership, mentorship, and guidance within a multidisciplinary R&D environment
- Join an agile, fast-moving team at the intersection of robotics, autonomy, and advanced industrial technology
- MS or PhD in Computer Science, Robotics, Mechanical Engineering, or a related field
- 5+ years of experience developing and deploying machine learning models, ideally in robotics or control systems
- Deep expertise in reinforcement learning, imitation learning, or learning-based control for robotic platforms
- Proven experience deploying ML-based control methods on robotic hardware
- Strong proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX
- Solid programming skills in Python; experience with C++ is an advantage
- Familiarity with robotics frameworks and tools (e.g., ROS2, Omniverse) and the ability to collaborate closely with cross-functional robotics teams
- Proficiency in English; basic German skills are a plus
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